We are thrilled to present a webinar led by Kyrylo Kupin, Co-Founder and Chief Manufacturing Officer of SIZL, a Chicago-based foodtech startup pioneering dark kitchen operations and technology-driven delivery ecosystems in the U.S. market. As a recognized expert in foodtech innovation and operational efficiency, Kyrylo has built SIZL into a fast-scaling network processing over 20,000 retail orders annually — powered by its own ERP system and integrated last-mile delivery infrastructure.

About Kyrylo Kupin:

Operational Innovator: At SIZL, Kyrylo oversees the entire production and logistics chain — from location selection and partner sourcing to delivery optimization — ensuring sustainable growth and strong unit economics.
Foodtech Visionary: His experience at both SIZL and Local Kitchen has shaped his deep understanding of technology-enabled restaurant operations and scalable delivery models.
Data-Driven Leader: A strong advocate for analytics and process efficiency, Kyrylo demonstrates how data insights transform logistics, retention, and profitability.
Industry Mentor: As a frequent participant at foodtech innovation summits and mentor in accelerator programs, he helps emerging entrepreneurs turn bold ideas into operational excellence.

Webinar Program: “Unit Economics, Cohorts & Logistics Efficiency: Turning Growth into Profit”

1) Introduction (5–7 minutes)

• About SIZL: how the startup built a sustainable operational model for food delivery in the USA.
• Why growth ≠ success today: most players scale faster than the economics of their orders grow — the trap of “pseudo-scaling.”
• Webinar objective: to show how cohorts and unit economics turn chaotic delivery data into a structured decision-making system.

2) What Unit Economics Is and Why It Matters (10 minutes)

• Principle: measure profit per unit of action — order, mile, customer, courier.
  For SIZL, the unit = one order, which becomes the building block for the entire economic model.
• Key metrics:
  CAC — customer acquisition cost
  LTV — customer lifetime value
  CPO / CM1 / CM2 — operational margin metrics
• Why averages can mislead:
  Unit economics must be segmented — by sales channel, customer type, delivery zone.
• SIZL example:
  Reducing the average dish cost by 5% increased LTV by 20% and lowered CPO by 1.5× — because retention improved in “prime cohorts.”

3) Cohort Analysis in Delivery (15 minutes)

• What a cohort is: a group of customers, orders, or zones grouped by time or event (e.g., first order).
• Why it matters: it allows businesses to go beyond average metrics and understand behavioral dynamics over time.

Three key cohort types:
1. Customer cohorts — how quickly they return, how much they spend, when they churn.
2. Geographic cohorts — which areas are profitable and which erode margin.
3. Operational cohorts — which channels or promo types deliver sustainable LTV.
SIZL case:
Analysis of a six-month dataset showed that 35% of new customers did not return — not because of price, but due to infrequent menu rotations and insufficient promotional campaigns.
In response, SIZL implemented a two-week menu rotation and regular promotions, significantly improving retention and profitability.

4) Logistics Efficiency Through Data (15 minutes)

• Connecting operational data with unit economics:
  Every courier minute, every delivery mile — is part of CM2.
• Key metrics:
  Courier idle time — how much time is lost between orders.
  Average distance per order — impacts wear rate and delivery speed.
  Orders density per hour — a core metric for sustainable operations.
• SIZL practice:
  Developing a proprietary courier app allows optimization of order logistics, reducing courier idle time and lowering the number of couriers required — while maintaining delivery speed and profitability.

5) Q&A (10–15 minutes)

Discussion of typical cases:

• How does a unified ERP system help improve unit economics?
• What to do if marketing grows but profitability falls?
• How to convince investors to focus on unit-level metrics rather than GMV?